Former AI resident at FAIR , PhD in systems and computational neuroscience from McGill . Excited about understanding and explaining synthetic and biological intelligence.
My primary research interest is furthering the science of deep learning—developing and conducting rigorous, empirical experiments to better understand deep learning systems—and using the resulting insights to improve the performance, efficiency, and human-interpretability of these systems. I’m currently pursuing these interests as a researcher at MosaicML .
I also spent 1.5 years as an AI Resident at FAIR , where I applied empirical approaches to understand deep learning systems under the supervision of Ari Morcos and Sergey Edunov . The publications section of my site has summaries of all my work.